{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#首先 import 必要的模块\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "#color = sns.color_palette()\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "0          6                           148              72   \n",
       "1          1                            85              66   \n",
       "2          8                           183              64   \n",
       "3          1                            89              66   \n",
       "4          0                           137              40   \n",
       "\n",
       "   Triceps_skin_fold_thickness  serum_insulin   BMI  \\\n",
       "0                           35              0  33.6   \n",
       "1                           29              0  26.6   \n",
       "2                            0              0  23.3   \n",
       "3                           23             94  28.1   \n",
       "4                           35            168  43.1   \n",
       "\n",
       "   Diabetes_pedigree_function  Age  Target  \n",
       "0                       0.627   50       1  \n",
       "1                       0.351   31       0  \n",
       "2                       0.672   32       1  \n",
       "3                       0.167   21       0  \n",
       "4                       2.288   33       1  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.read_csv(\"./pima-indians-diabetes.csv\")\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train : (768, 9)\n"
     ]
    }
   ],
   "source": [
    "print(\"Train :\", train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      "pregnants                       768 non-null int64\n",
      "Plasma_glucose_concentration    768 non-null int64\n",
      "blood_pressure                  768 non-null int64\n",
      "Triceps_skin_fold_thickness     768 non-null int64\n",
      "serum_insulin                   768 non-null int64\n",
      "BMI                             768 non-null float64\n",
      "Diabetes_pedigree_function      768 non-null float64\n",
      "Age                             768 non-null int64\n",
      "Target                          768 non-null int64\n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "#查看数据基本信息\n",
    "#total values in each column, null/not null, datatype, memory occupied etc\n",
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "count  768.000000                    768.000000      768.000000   \n",
       "mean     3.845052                    120.894531       69.105469   \n",
       "std      3.369578                     31.972618       19.355807   \n",
       "min      0.000000                      0.000000        0.000000   \n",
       "25%      1.000000                     99.000000       62.000000   \n",
       "50%      3.000000                    117.000000       72.000000   \n",
       "75%      6.000000                    140.250000       80.000000   \n",
       "max     17.000000                    199.000000      122.000000   \n",
       "\n",
       "       Triceps_skin_fold_thickness  serum_insulin         BMI  \\\n",
       "count                   768.000000     768.000000  768.000000   \n",
       "mean                     20.536458      79.799479   31.992578   \n",
       "std                      15.952218     115.244002    7.884160   \n",
       "min                       0.000000       0.000000    0.000000   \n",
       "25%                       0.000000       0.000000   27.300000   \n",
       "50%                      23.000000      30.500000   32.000000   \n",
       "75%                      32.000000     127.250000   36.600000   \n",
       "max                      99.000000     846.000000   67.100000   \n",
       "\n",
       "       Diabetes_pedigree_function         Age      Target  \n",
       "count                  768.000000  768.000000  768.000000  \n",
       "mean                     0.471876   33.240885    0.348958  \n",
       "std                      0.331329   11.760232    0.476951  \n",
       "min                      0.078000   21.000000    0.000000  \n",
       "25%                      0.243750   24.000000    0.000000  \n",
       "50%                      0.372500   29.000000    0.000000  \n",
       "75%                      0.626250   41.000000    1.000000  \n",
       "max                      2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数值型特征的基本统计量\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plasma_glucose_concentration      5\n",
      "blood_pressure                   35\n",
      "Triceps_skin_fold_thickness     227\n",
      "serum_insulin                   374\n",
      "BMI                              11\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "NaN_col_names = ['Plasma_glucose_concentration','blood_pressure','Triceps_skin_fold_thickness','serum_insulin','BMI']\n",
    "print((train[NaN_col_names] == 0).sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 查看每个变量的分布 及其与标签之间的关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Target "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#该问题为分类问题，类别型特征直方图可用countplot\n",
    "sns.countplot(train['Target'])\n",
    "plt.xlabel('Diabetes')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 怀孕次数pregnants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "### Number of occurrences\n",
    "sns.countplot(train['pregnants'])\n",
    "plt.xlabel('Number of pregnants')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ce1b4a3b88>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"pregnants\", hue=\"Target\",data=train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plasma_glucose_concentration\n",
    "血浆葡萄糖浓度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.Plasma_glucose_concentration, kde = False)\n",
    "plt.xlabel('Plasma_glucose_concentration')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='Plasma_glucose_concentration', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Plasma_glucose_concentration', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### blood_pressure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.blood_pressure, kde = False)\n",
    "plt.xlabel('blood_pressure')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='blood_pressure', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('blood_pressure', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Triceps_skin_fold_thickness\n",
    "三头肌皮褶厚度（单位：mm）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.Triceps_skin_fold_thickness, kde = False)\n",
    "plt.xlabel('Triceps_skin_fold_thickness')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='Triceps_skin_fold_thickness', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Triceps_skin_fold_thickness', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### serum_insulin\n",
    "餐后血清胰岛素（单位:mm）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.serum_insulin, kde = False)\n",
    "plt.xlabel('serum_insulin')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cIktVU5p9WThEgAWEMYmtMSDcwYBw+4Ts7Ox4lhRV4XYxdQceUfskiwrrYjImseXk5ABQ40vB1wAenzZtS0bhtiAeAy6PRiHGGJPomgKiXppaEckcEOG2II4GbhKRW4EdzV9Q1eMjVlUXZS0IYxLbdy0IobreAmJf04JfJgosIIxJbOnp6TgdDty+FGp8gQ4YC4ggVZ0erUKM3ShnTKITEbKyMnH7apq6mBoHrpNRqwEhIpeo6tPBx1e0tJ+qPh7Jwroim2rDmMSXkZFBnU/w+AMBkZmZGeeKoqctLYiLgKeDjy9pYR8FLCA6yALCmMSXkZGBp1qa7oVI5vsgWg0IVZ3c7PGJre0vIsep6oKOFtYVNe9iUlUk2aeKNKYTcrlc+BR8+t3zZBXuZa5t8WZLL4iIQ0RWiMic4PPBIvKpiHwlIi+ISGpwe1rw+cbg64OiUGfCaVyMBKw1YUyicjpd+Bu+m9HV4Uje+4SjERAH+rX3ZmBts+f3Avep6kHAXuDK4PYrgb2qOgy4L7hf0mseChYQxiSmBm1A5LsPumS+bzgaARHyb0tEioAfE7xMVgL9JycBLwV3mQ6cE3x8dvA5wddPli7Q39K8i8muaDImMfl9flIEUoKfSMn8sxqNgGjJ/cD/AI0X+xcA5ara+KtyCVAYfFwIbAEIvl4R3D+pNf+PZi0IYxKTp66WNIeS6gj8LuzxeOJcUfTEJCBE5Axgl6oua745xK7ahteaH/caEVkqIkt3794dgUrjq3lA2E1zxiSm2tpaSqodfLozsDaE2+1u5R2dV6zGII4DzhKRTcAMAl1L9wN5ItJ4JVURsC34uAToDxB8PRco2/egqvqoqo5V1bE9e/aM6B8iHqyLyZjEV1lVRZ1fKPMEBqcrKyvjXFH0tCsgRKSbiPRr/tX4mqrud9+5qv6vqhap6iACq8+9r6o/BT4ApgR3uwyYFXw8O/ic4Ovvd4UZZC0gjElstbW1eLz1OAQcEvhIKi8vj3NV0RNWQIjIKSLyDYErjkqafW1p5/l/C/y3iGwkMMbwWHD7Y0BBcPt/A7e28/idinUxGZPY9uzZA4AzRXGlfH9bMgp3sr7HCCwYNAOobc8JVfVD4MPg42+Ao0LsUwec357jd2Y2SG1MYtu1axcArpTAVUwZTmnalozCDYh04AlVtf6PKPB6vU2Pm980Z4xJDNu2BYZJXSmB7qUeGf6mbcko3DGI+4D/6Qr3JMRD84Bo/tgYkxi2bduGMwWcwU/O3un1bC0pjm9RURRuQLwMXA1UiMg3zb+iUFuX0/x66rq6ujhWYowJZfPmzfTJ1KZLNftm+tm2fUfSdgmH28X0EvAx8CLtHIMwLautrUUJXCdcW2t/vcYkms2bvqVfhpeq+sDv1n0z/fj9DWzdupWBAwfGubrICzcgBgNjVNUusYmCqupqNDUL8dZQU1MT73KMMc14PB62b9/BuIF+1pUHAqIoOzAc++233yZlQITbxTSLwE1uJgqqqqpoSM0GoLq6Os7VGGOa27RpEw2qTaEA0C/Tj0ggIJJRuC2INGC2iHwM7Gz+gqpeGrGquqjqqmo0rTtU76Sqqire5Rhjmvn6668BGJD93XhDqgP6ZikbN26MV1lRFW5ArA5+mSiorq5GC/ohDpcFhDEJZuPGjaQ5oVfG93vYB2R6+WrD+jhVFV1hBYSq3hGtQro6j8dDfb0XdaaBK80CwpgEs2H9egZm+5qm+W40MMfH4q/3UFFRQW5ubnyKi5KwAkJEWhx/UNX3O15O11VRUQGAOtJocKQl9QRgxnQ2fr+fjRu/YmLP/W9gHZQT6HLasGED48aNi3VpUdWeqTaa6wmkEpiPaUhEKuqiGgNBnen4U1IpDwaGMSb+iouLqfN4GZKz//0Og3ICg9br16/v2gGhqoObPxcRB3AbYP0hHfRdQKShzjTKyy0gjEkU69atA2BQt/1nGcpyKX2ytGmfZNKh9SCCczLdTWClONMB3w+IdOtiMiaBrFmzhkyX0Dcz9DR0Q7K9rFn9ZdKtTx2JBYNO5btlRE07NY1BONNRZxo11VU25bcxCWL1qi8ZnO3db4C60bDcesr2VrBz587QO3RS4Q5Sb+H7S39mEpjh9ReRLKorarxqSZ2pgVaEKjU1NeTk7Lf+kjEmhqqrq/l202bOGdTyDMsH5QbGJr788kv69OkTq9KiLtxB6ov3eV4DbFBV6w/poMrKSsThghRn4FJXAqFhAWFMfK1atQpVZURuywHRP9tPhgtWrlzJqaeeGsPqoqvNAREckL4DOE1VPa3tb8JTXV0NzsAi6OoIBERlZSX9+vU70NuMMVG2fPlyXCkwLLflGVtTBA7O9bJ82WcxrCz62jwGERyQHhzOe0zbVVdXo45AQOBwNW0zxsTX0iVLGJZbT6rjwPuN6l7P1m072L59e2wKi4FwP+zvAB4WkYEi4hCRlMavaBTXldTU1OBPCTToGoPCpvw2Jr527NjBN5s2Mbqg9QW8Dg/us2jRomiXFTPhfrBPAy4FvgG8QD3gC343HVBT40ZTAi0HDbYgbMpvY+JrwYIFAG0KiN6ZDfTLUj755ONolxUz7VkPwkRBdU3Nfl1Mbrc7jhUZY95771365zTQN6ttl5yP61nL6ys+p7S0lIKCgihXF31htSBUdbOqbga2AN7G58FtpgNqampIqS0nrXhxU1BYC8KY+Nm6dStr1qzl6J5t7+o9ureXBlXefz85pqYLKyBEJE9EngPqgI3BbWeJyF3RKK4rqa6uQvxeUtxlkOKwKb+NibO5c+ciAsf1bb17qVFhlp+huX7mvD47Ke6qDncM4t9ABTCQwBgEwCLgJ5Esqqupqamh3usFaXaZRGoGZWVl8SvKmC7M4/HwxpzXGV3gJT8tvBkNTuhby+biLXz++edRqi52wg2Ik4GbVHU7wTuqVXU30CvShXUljbfna8p3/xw+ZwY7diTXbfvGdBbvvPMO5ZVVnFYU/pWEx/T2kJMKM194IQqVxVa4AVEB9Gi+QUQGAMlz4W8cFBcXBx6kfHfNgD8tl82N240xMePz+Xj+uecY1K2BQ7q3fHNcS1IdcEqhm0WLFzctU9pZtecy15dF5EQgRUSOAaYT6Hoy7bRx40YQQZsFRENmd6oqK9i9e3ccKzOm63nvvffYum0bZw2sQVqYnK81pxbVkeGC6dOnR7a4GAs3IO4FZgL/BFzA48BrwAMRrqtL+fLLVTRkFtD8f6M/K9Brt2rVqniVZUyXU19fz5NPPM7AnAaO7NH2wel9ZbuU0wrdzJ8/nw0bNkSwwtgKNyBOAGap6khgGPAZcDjQO8J1dRlut5tVq1fhy/7+DJANmQWIM5WlS5fGqTJjup7XX3+d7Tt2MmVIdbtbD40mDagjOxUe+Xfn7WAJNyD+BTSumPF3AjfaKfBoJIvqSpYtW4bf58OXV/T9F1JS8Ob0Y+GiRbYuhDExUFNTw1NPPsEh3X38IL/jk0NkOpWzBtawbPlylixZEoEKYy/cgChU1WIRcQKTgGuAnwPHHuhNItJfRD4QkbUislpEbg5uzxeRd0Tkq+D37sHtIiIPishGEVkpIke048/WKcyfPx9xpeHP3n8OeV/eAPaWlbF27do4VGZM1/Lss89SXlnFhUM73npodHJhHb0ylYf/9U/8/tCr0SWycAOiUkR6Az8EVqtq43Sjrlbe5wN+raqHAEcD14vISOBW4D1VPQh4L/gc4HTgoODXNcDDYdbZKXg8Hj75ZAHe3AGQsv8/hS9vAKQ4+OCDD+JQnTFdx86dO3nxxZkc29vD4BDrTreXKwUuGBJYcOjNN9+M2HFjJdyAeIjAuMOzBAaqAY4DDrhat6puV9XlwcdVwFqgEDibwFVQBL+fE3x8NvCUBiwG8kSkb5i1JrwlS5ZQW+umPr+FKa6cqdR3K+S99z+wbiZjoujxxx8Hv48pQyM//9m4nl6G5vp54vHHOt0MzeHOxXQvcApwnKrOCG7eClzV1mOIyCBgDPAp0Dt40x3B74033BUSmO+pUUlw277HukZElorI0s54OegHH3yAuNLx57S8KJAvfzB7y0rtaiZjouTbb7/l7bfncWpRLT3SI/+LmAhcOLSa0rK9vPLKKxE/fjSFvY6Dqm5Q1a/3ef5lW94rItnAy8AvW1mmNFQP4H4Tm6jqo6o6VlXH9uzZsy0lJIza2lo++WQBnrxBIbuXGvnyBiAOF++9917sijOmC3nyySdJd8CPB0bvt/sReT5+UFDPCzOe71SzNMdsoR8RcREIh2dVtTFGdzZ2HQW/7wpuLwH6N3t7EbAtVrXGwqefforX68HXUvdSI4cLb7ciPvjwo045yGVMItuyZQsfffQRpxS6yXFFd3K9cwe7qayq5vXXX4/qeSIpJgEhIgI8BqxV1X80e2k2cFnw8WXArGbbLw1ezXQ0UNHYFZUsPvjgAyQ1A39O67eQ+PIHUVlRzhdffBGDyozpOl599VUcKfCj/nVRP9fQbj5G5Pl47ZWXO80ve7FqQRwHXAKcJCKfB78mA/cAp4rIV8CpwecAbxBYtW4j8B/gFzGqMyZqa2tZuGgRnryB0IbVWn25/RGHkw8//DD6xRnTRXi9Xt56803G9/SQm9r21sMzGzLZXOVgc5WDPy/vxjMbMtv83lOLatm+cxfLly9vT8kxF+6Kcu2iqp8QelwBAjPE7ru/AtdHtag4WrhwIfVeL77ubVygz+HEm9ufDz74kJtuugmnMyb/bMYktWXLluGureWY4Z6w3ldc7aTWH/jFbl15eL9jjy7wku4U5s+fz7hx48J6bzzEbAzCfOftt9+GtGz8OfvfHNcSX/4QqqoqO+0dmcYkmsWLF5PhFEZ17/hd022V6oAf5NexcMEnMTtnR1hAxNiuXbtYsmQJnvyhhHO7pi+3CEnNYO7cuVGszpiuY/36dQzK8eKM8afgsFwfpWV7KS0tje2J28ECIsZee+01FKjvOTy8N6Y4qMs/iIULF7J9e1KN1xsTF99++y39s8Jf76GjBmb7ms6f6CwgYqiqqopXX3uN+ryBaFpO2O+v7z0SFWHGjBmt72yMaZHH48Hj8ZKbGvsZCroFB8Q7w5rzFhAxNGPGDGrdbrx9D2/X+zU1E2/BQcyZM4etW7dGuDpjuo7GKS/SHK3sGAVpjkBAdIYb5iwgYmT79u3MfPFF6vOH0JBV0O7jePuNoQHh3514jnlj4i0jIwMATxxuR/D4A2OPmZltvzw2XiwgYkBVeeCBB/D5FU/R2I4dKzWTuj4/4OOPP2bx4sURqtCYriUtLY20VBeV9bH/CKzyBgIiJyf8buZYs4CIgffff5/FixdT23c0mpbd4eN5+xwGGXn87e9/p6amJgIVGtP19OvXj121se9j2hk8Z79+LU/SmSgsIKKsrKyM++6/n4bsntT3GRWZg6Y4qBk0gT179vDww0m5VIYxUdd/wEC217a2lE3kbXM7cLmc9O6d+Cs1W0BEkary17/+lZoaN7WDJrZpWo22asjuhbf3ocyZM4dPP/00Ysc1pqsYPHgwO2sk5uMQJdUOBg4ciMMRhxHyMFlARNG8efNYtGgRtYVH0pCRd8B904oX43CX4nCXkrHuDdKKWx9f8BSOQTO78//uubdTXDJnTCIZMmQICmx3x/aDemttKkOGDI3pOdvLAiJK9uzZwwMPPkhDTh/qe7fetZTiLkP89Yi/HmfVDlLcZa2fJMWJe9BEysv3MnXq1AhUbUzX0TgGsDuG4xC+BthbC337do4FMi0gouShhx6irs6Le9BxYU2pEa6GrB54+hzGvHnzWLFiRdTOY0yy6dGjBwDl3th9DFZ4U9Bm5050FhBRsHz5cj766CPq+hyGpudG/XzevqMhPYd/3HcfPl/spw4wpjNqXOfdIdFdKKi5xnN1ljXmLSAiTFV55JFHIS0bb9/DYnNSh5PawnFsKS7m3Xffjc05jenkysoC3bgZjtgFRHrwXHv37o3ZOTvCAiLCli1bxvr166jrezikxG7dBl/3gWhWAdOferrT/HZiTDw1Tp0/onvsWt3pThjczc+SJZ3jykMLiAh79dVXkdQM6guGxfbEItT1PpTt27aydOnS2J7bmE7G4/Hwxtw5DO7mJz8ttnnik44AABIlSURBVL9QjSnwsHbtWtatWxfT87aHBUQElZaWsnDhQuryh0FK7K9x9nUfhLjSbc0IY1oxffp0tm7bzvlDYj8TwY/615GXBn+5956EHzO0gIig999/H1XF1+Og+BSQ4sDTfTALFiy0+yKMacEbb7zB888/x8S+dRyaH7vV5BplOpVLD6rkm283cddddyV0SFhARIiq8tqsWTRk92r1prhoqu9xED5ffWBZU2PM98yaNYu//OUvjOpez6XD4zeP2ZE967loWA0ffvghf/zDH/B6vXGr5UAsICJk/vz5bC0pwdNzRFzraMjqQUN2L154YWbTnPfGdHVut5u//OUv3HfffYzp4eWXh1XGZS2I5k4fUMclw2v4ZMECfvGLn7N58+b4FhSCBUQEVFRUcN/996NZBfjy438LfV3RWHbt2sm0adPiXYoxcbd+/Xquufoq3nzjDc4c6ObGQ6tITZBpkE4tquNXP6hkR/HXXHP1VcyZMwfV2F122xoLiA4qLS3lpptvpryiEvfA4yAl/n+l/pw+eHsdwssvv8wTTzyRUP/hjIkVt9vN1KlT+fl111FTuo1bx1Rw/tBanPH/Ef2eMT3quXtcGcOy3fztb3/jV7/8ZcK0JmJ3oX4SWrlyJXf/+c/s2l2K+6BTachKnNvnPQPGIw0+pk+fzs6dO7n++us7xQIlxnSUqvLRRx/x0IMPUFa2lxML6zh/iJssV+L+otQ9Tbnl8Eo+3JbGzDVfcOUVV/CTCy/kkksuIT09PW51WUC0Q2VlJY888kjgctL0HGqGn0ZDdq+OHdTvJT09nTPOOIM5c+ZQ7e/goJWkUDdoAg2uTN6aN4+FixZz8003ctJJJyFRnBvKmHjavHkzDz7wAMuWL2dgTgM3HFnF0NzEvUqouRSBkwo9jO3p5fmNmTz77LO8+87b3HDjTUyYMCEuP7cWEGGorKzk5ZdfZuaLL1JbW4u3z2F4+o0GR8cXHRGflzPOOoMbbrgBVWXm6/M6XrAI3qIj8XUfRMPmBfzpT39ixgsvcPnPfsYxxxxjQWGSRm1tLU899RQvzpxJaoqfiw+q4eTCOhwJ1p3UFt1SlWtH1vDDvh6e+qqB3//+94wbN5abb/4lRUVFMa3FAqIN9u7dy0svvcTLr7xCXW0t9XkD8Q4eQ0NmfsTOoc7UpgGquXPnos7ILWjekFVAzSFn4NrzFV8Vr+R3v/sdQ4cO49JLL2HixImkJMC4iTHttXLlSu75f39m2/YdTOxTxwXD3OSmJm53Ulsd3N3HnWP38u7WdF79fClXXnE511x7Heeee27MfmYlWQYwx44dq5GeYmLHjh288MILzJk7l3qvl/rug/H2OzyiwdAoY90bOKt2ND335fSh9uDJET8PDQ04y74mY8cXUFtJYVERF//0p5xyyim4XLFfftGY9vJ6vTz22GPMnPkCPTKUq0dUcnAM5lX68/JurCv/7mfl4Lx6fndEZVTPudcjPL4uhy9KXYw+/HBu/d//pU+fPhE5togsU9WxoV6zFkQIFRUVTJs2jblz36BBlfqCoXj7HBbXG+AiJiUFX4+DqCoYirNsEyU7v+Tee+9l2mOP8/PrruXkk0+2rieT8DweD7ff/ns+/XQJJ/ar48JhNWQk8adZ9zTlv39QyfztaTy7+guu/8XPuf+BB+nfv39Uz5uwfQsiMklE1ovIRhG5NRbnbGhoYO7cufz04ot5fc4c6noMp/qwKdQNnpgc4dCcpOArGEL1IWfhPuhUdtcqd911F7/81a8S5hI7Y0LxeDz8/rbb+PTTJVw+oprLD07ucGgkAj/s5+H2I8qpr9nLL2+6keLi4qieMyEDQkQcwD+B04GRwEUiMjLa533mmWf461//SiWZ1Iw8G8/AY9C07GifNr5E8Of1p+aQM6gbeCwrV63lmmuuZfv27fGuzJiQZs+ezZLPPuOKg6s5sdAT73Jirijbz/+OLqfeXc7f//a3qJ4rIQMCOArYqKrfqKoXmAGcHc0Tbt++naeeepr67oOpGTE5KuMMCU1SqO91MFUjz8Lr89ka1yZhvfP2PAZ383NCv/iEQ61PSE9PZ8qUKaSnp1Pri32XbGGWn1P6uVn55Up27doVtfMkakAUAluaPS8JbvseEblGRJaKyNLdu3d36IRfffUVPl99oCupC/fBqzOdBlcmq1avsTuwTcLx+Xxs3Pg1Q3NiPwtrI7dPOOOMwCXpP/7xj3HHISAAhnbzoRqYSiRaEjUgQv2N7/dppaqPqupYVR3bs2fPDp1w4sSJnHjiiaRtW0FqyTKkvotNdKeKo2oHmRvexuGt5vbf32aD1SbhOJ1Oxo8fz2d70vHFaeHETKcyZ84cHnroIebOnUumMz6/SC3amUp6WhpjxoyJ2jkSdWinBGg+PF8EbIvmCUWE3/72t/j9fubPn0/6ztV4Cobi7X0ompEbzVMD0JCZj2+f5zGhDTj3biZt5ypSqneTnZPDDf/zPxx55JGxOb8xYTpvyhQWLV7M1FU5/HxUVcxnZR2RVw/l1cyfO5PeTg08j7F5W9JZsCOds885nezs6I2TJuR9ECLiBDYAJwNbgc+A/1LV1S29J5L3QRQXFzNz5kzeemsePl89mlWAN3cAvu4Dacjo3vm7oPw+nJVbce7dTGplCVpfR5++fbnwJz9h0qRJcZ37xZi2eOWVV5j60EMMzPFx82GVMV82NF58DfD8xkzeKclg4oQJ/N9tt3X45/VA90EkZEAAiMhk4H7AATyuqncfaP9o3ChXVlbGO++8w/z5H7NmzepAn3x6N7y5/fHl9cef3TsuS4u2h9S7cVRsxbm3mNSqrajfR2ZWFscdeywnnHACRx99NA5H5/izGAOwcOFC7rjjj4i/njMG1DCpf23CTOMdaarweamL5zfmsMMtXHDBBVx77bUR+ZntlAERrmgERHNlZWUsXLiQjz/+mKXLluH3+RCHC29OX/y5RfhyC9G0BJottaEBR80uHBUlpFZuRWpKAcgvKOD4iROZMGECo0ePxulM1F5GY1pXUlLCvx9+mE8WLKAgAy4YXMX43l5SOnkjv7nNVQ6e/zqbNWVO+hcV8ovrb+CYY46J2PEtICLM7XazYsUKlixZwsJFi9m9a2fghYw8vLlF+PIG4M/uBRLjawB8dTjLS3CWF5NatQ31eUlxOBg1ahRHjx/PUUcdxbBhw2zw2SSdFStW8M+pD7Hx62/ok6VM7l/DcX08uBL1MpxWqML6cidzijNZWeoiJzuLy6+4krPOOiviv9RZQESRqrJlyxaWLFnCokWL+Pzzz/H7/YgrHW+3Qnx5A/DlFkVkxtdQpK4C595iXBVbcFTvBFXyuudz3LHHMH78eI444oioDmIZkyj8fj8ff/wxzz37DBu+2kheOpxWWMOJhZ64XWkUrgaF5XtSmVucydcVDvJyuzHl/As4++yzo7aeiwVEDNXU1PDZZ5+xcOFCFixcRE11VaArKm8A9T2G48/p0/FBbp8HV9k3pJZuJKU6cP/H4CFDmDhhAsceeyzDhw+3GVpNl6WqLFu2jOeee5bly1eQ7oSJfWr5UVEdvTMTczC71ifM357GO1sz2eUW+vbpzYUX/ReTJk0iLS0tque2gIgTn8/HqlWreO+993j3vfeodbshPQdP/lDqe41EXeFdfeCo2oFr51pcFcXQ4GfQoMFMnnw6xx9/fMRmdjQmmWzYsIEXX3yRD95/H7/fz5geXib1r2VEni8hLkbcXZvC2yXpzN+RQW09HDpqJFPOv4AJEybEbHzQAiIBeDwePvnkE9586y2WLl2KOFzU9RqFt8+hrXY/pdSUkrZ1Gc6KErJzcjjtRz9i0qRJNp5gTBvt2bOHWbNmMXvWa1RUVjGkm5/JA9yM7RmfAe1NVQ7eKM5gya40JCWFE044kSlTpnDIIYfEvBYLiASzadMmpk2bxieffIK40mlIPcAYgTYg7jKysrK5+OKfcu6559p9Csa0k8fjYd68ebww43m2bttOr0zl9KIaJvb1RP0SWVVYvdfF3OIMVpe5yMxI58yzzua8886jV68OLlncARYQCWrt2rW8/PLL1NTUHHC/4cOHM2XKlKgNUhnT1fj9fhYsWMBzzz3LunXrKciAcwZWM6GPJyrLlG4od/LSN1msK3dS0D2PKRf8hDPPPDMhLiCxgDDGmBBUleXLlzPtP4+ydt16+mQp/9+gasb38kZkjKK42sGLX2fxRamL7nm5XHLpZZxxxhmkpqZ2/OARYgFhjDEHoKosXLiQx/7zH77ZtIlD8+u5fEQ1PTPad9WT1w+vfpvJm1syyMrK4qL/CnQPZ2RkRLjyjrOAMMaYNmhoaGD27Nk88u+Haaj3cN7gGn7Uvy6sgex1e508tr4bO93C5MmTue666+jWrVv0iu4gW5PaGGPaICUlhXPOOYdjjz2Wf/zj7zy3+FO+qnBxzci2zRr7bkkaT3+VTZ/evfnHXb/liCOOiH7RUWQtCGOMCUFVefHFF3n44X8xOMfP6f3dBxyXWLPXxftb0znm6KP5/e23k5mZGbtiO8BaEMYYEyaRwKyphYWF/OnOO/nn6tabEOeffz7XXXdd0syMbAFhjDEHcNxxx/HCzJmUlZUdcL/09HT69u0bo6piwwLCGGNakZubS25u9FeWTDQ2o5sxxpiQLCCMMcaEZAFhjDEmJAsIY4wxIVlAGGOMCckCwhhjTEgWEMYYY0JKmqk2RGQ3sDnedSSRHsCeeBdhTAj2fzOyBqpqz1AvJE1AmMgSkaUtzc9iTDzZ/83YsS4mY4wxIVlAGGOMCckCwrTk0XgXYEwL7P9mjNgYhDHGmJCsBWGMMSYkCwhjjDEhWUCY7xGRSSKyXkQ2isit8a7HmEYi8riI7BKRVfGupauwgDBNRMQB/BM4HRgJXCQiI+NblTFNngQmxbuIrsQCwjR3FLBRVb9RVS8wAzg7zjUZA4CqzgcOvO6niSgLCNNcIbCl2fOS4DZjTBdkAWGakxDb7DpoY7ooCwjTXAnQv9nzImBbnGoxxsSZBYRp7jPgIBEZLCKpwIXA7DjXZIyJEwsI00RVfcANwDxgLTBTVVfHtypjAkTkeWARMEJESkTkynjXlOxsqg1jjDEhWQvCGGNMSBYQxhhjQrKAMMYYE5IFhDHGmJAsIIwxxoRkAWHMAYjIv0Xk923c90MRuSraNRkTKxYQpksTkU0iUisiVSJSLiILReQ6EUkBUNXrVPVPMajDwsUkHAsIY+BMVc0BBgL3AL8FHotvScbEnwWEMUGqWqGqs4GfAJeJyKEi8qSI3AUgIt1FZI6I7BaRvcHHRfscZqiILBGRChGZJSL5jS+IyNHBFkq5iHwhIicEt98NTASmiki1iEwNbj9YRN4RkbLgIk4XNDvWZBFZE2z5bBWR30T3b8d0RRYQxuxDVZcQmLhw4j4vpQBPEGhpDABqgan77HMpcAXQD/ABDwKISCEwF7gLyAd+A7wsIj1V9f+Aj4EbVDVbVW8QkSzgHeA5oBdwEfAvERkVPM9jwLXBls+hwPsR+uMb08QCwpjQthH4IG+iqqWq+rKqulW1Crgb+OE+73taVVepag3we+CC4Ep9FwNvqOobqtqgqu8AS4HJLZz/DGCTqj6hqj5VXQ68DEwJvl4PjBSRbqq6N/i6MRFlAWFMaIXss3qZiGSKyCMisllEKoH5QF4wABo1X3BpM+ACehBodZwf7F4qF5FyYALQt4XzDwTG77P/T4E+wdfPIxAum0XkIxE5pmN/XGP254x3AcYkGhEZRyAgPgHGN3vp18AIYLyq7hCR0cAKvr/QUvP1NAYQ+E1/D4HgeFpVr27htPvOmrkF+EhVTw25s+pnwNki4iIwA+/Mfc5tTIdZC8KYIBHpJiJnEFiL+xlV/XKfXXIIjDuUBwef/xDiMBeLyEgRyQTuBF5SVT/wDHCmiJwmIg4RSReRE5oNcu8EhjQ7zhxguIhcIiKu4Nc4ETlERFJF5Kcikquq9UAl4I/YX4QxQRYQxsDrIlJF4Lf2/wP+AVweYr/7gQwCLYLFwFsh9nkaeBLYAaQDNwGo6hbgbOB3wO7guW7hu5/BB4ApwaujHgyOcfyIwKJN24LHuxdIC+5/CbAp2NV1HYExDmMiytaDMMYYE5K1IIwxxoRkAWGMMSYkCwhjjDEhWUAYY4wJyQLCGGNMSBYQxhhjQrKAMMYYE5IFhDHGmJD+fzoiRUGdJjaRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='serum_insulin', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('serum_insulin', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BMI\n",
    "体重指数（体重（公斤）/ 身高（米）^2）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.BMI, kde = False)\n",
    "plt.xlabel('BMI')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='BMI', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('BMI', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ce1bbaf108>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "BMIDF = train.groupby(['BMI', 'Target'])['BMI'].count().unstack('Target').fillna(0)\n",
    "BMIDF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Diabetes_pedigree_function，糖尿病家系作用"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEHCAYAAAC0pdErAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAX4klEQVR4nO3de5BlZXnv8e9PBgW8AU6jFDAMnIOWaBnFKcRLDEf0iMQAHjHiBcGQzDFBvB0rIibBSk4syMnxglHJKOpICYKIYTR4QeRSRhkZEBFEZA7iOEKciQJqtDSQ5/yxVsu2Wd29Zrp37758P1W7eq13vXu9T7+zZz/9rsu7UlVIkjTRg0YdgCRpfjJBSJI6mSAkSZ1MEJKkTiYISVKnZaMOYCaWL19eK1euHHUYkrSgXHvttf9WVWPT1VvQCWLlypVs2LBh1GFI0oKS5Pt96nmISZLUyQQhSepkgpAkdTJBSJI6DS1BJPlwki1JbuzY9uYklWR5u54kZybZmOSGJAcNKy5JUj/DHEF8FDh8YmGSfYDnAZsGil8AHNC+VgMfGGJckqQehpYgquoq4Ccdm94F/DkwOI3sUcDHqnE1sGuSPYcVmyRpenN6DiLJkcAPq+qbEzbtBfxgYH1zW9a1j9VJNiTZsHXr1iFFKkmaswSRZBfgbcBfdW3uKOt8UEVVramqVVW1amxs2hsBJUnbaS7vpP4vwH7AN5MA7A1cl+RgmhHDPgN19wbumMPYZsW56zdNX6n18qetGGIkkjRzczaCqKpvVdUeVbWyqlbSJIWDqupfgXXAq9qrmQ4B7qmqO+cqNknSAw3zMtfzgK8Bj0uyOcmJU1S/BLgN2Ah8EPizYcUlSepnaIeYqupl02xfObBcwEnDikWStO28k1qS1MkEIUnqZIKQJHUyQUiSOpkgJEmdTBCSpE4mCElSJxOEJKmTCUKS1MkEIUnqZIKQJHUyQUiSOpkgJEmdTBCSpE4mCElSJxOEJKmTCUKS1MkEIUnqZIKQJHUyQUiSOpkgJEmdhpYgknw4yZYkNw6U/Z8k30lyQ5JPJ9l1YNtbk2xMckuS5w8rLklSP8McQXwUOHxC2aXAE6vqScB3gbcCJDkQOBZ4Qvue9yfZYYixSZKmsWxYO66qq5KsnFD2xYHVq4Fj2uWjgE9U1a+A7yXZCBwMfG1Y8W2Lc9dvGnUIkjTnRnkO4o+Az7XLewE/GNi2uS17gCSrk2xIsmHr1q1DDlGSlq6RJIgkbwPuBT4+XtRRrbreW1VrqmpVVa0aGxsbVoiStOQN7RDTZJIcD7wQOKyqxpPAZmCfgWp7A3fMdWySpPvN6QgiyeHAW4Ajq+oXA5vWAccmeUiS/YADgK/PZWySpN82tBFEkvOAQ4HlSTYDp9FctfQQ4NIkAFdX1Wuq6qYkFwDfpjn0dFJV3Tes2CRJ0xvmVUwv6yg+e4r6fwv87bDikSRtG++kliR1MkFIkjqZICRJnUwQkqROJghJUicThCSpkwlCktTJBCFJ6mSCkCR1MkFIkjqZICRJnUwQkqROJghJUicThCSpkwlCktTJBCFJ6mSCkCR1MkFIkjqZICRJnUwQkqROJghJUqehJYgkH06yJcmNA2W7J7k0ya3tz93a8iQ5M8nGJDckOWhYcUmS+hnmCOKjwOETyk4BLquqA4DL2nWAFwAHtK/VwAeGGJckqYehJYiqugr4yYTio4C17fJa4OiB8o9V42pg1yR7Dis2SdL05vocxKOr6k6A9ucebflewA8G6m1uyx4gyeokG5Js2Lp161CDlaSlbL6cpE5HWXVVrKo1VbWqqlaNjY0NOSxJWrrmOkH8aPzQUftzS1u+GdhnoN7ewB1zHJskacBcJ4h1wPHt8vHAxQPlr2qvZjoEuGf8UJQkaTSWDWvHSc4DDgWWJ9kMnAacDlyQ5ERgE/CStvolwBHARuAXwKuHFZckqZ+hJYiqetkkmw7rqFvAScOKRZK07ebLSWpJ0jxjgpAkdTJBSJI6mSAkSZ1MEJKkTiYISVInE4QkqZMJQpLUyQQhSepkgpAkdTJBSJI6TZsgkuw+F4FIkuaXPiOI9Uk+meSIJF0P9pEkLUJ9EsRjgTXAccDGJO9I8tjhhiVJGrVpE0Q1Lm2n7/5jmgf9fD3JlUmePvQIJUkjMe3zIJI8CnglzQjiR8DJNE+AezLwSWC/YQYoSRqNPg8M+hpwDnB0VW0eKN+Q5KzhhCVJGrU+CeJx7RPfHqCqzpjleCRJ80SfBPHFJC+pqrsBkuwGfKKqnj/c0Ba3c9dv6lXv5U9bMeRIJKlbn6uYxsaTA0BV3QXsMbyQJEnzQZ8EcV+S3/wZm2RfoPOQU19J3pjkpiQ3JjkvyU5J9kuyPsmtSc5P8uCZtCFJmpk+CeJtwFeSnJPkHOAq4K3b22CSvYDXAauq6onADsCxwBnAu6rqAOAu4MTtbUOSNHN97oP4PHAQcD5wAfDUqvrCDNtdBuycZBmwC3An8Bzgwnb7WuDoGbYhSZqBvpP1PQT4CXAPcGCSZ29vg1X1Q+DvgU00ieEe4Frg7qq6t622Gdhre9uQJM1cnxvlzgBeCtwE/GdbXDSHmrZZexXUUTQ32N1Nc7PdCzqqdp7nSLIaWA2wYoVX+EjSsPS5zPVomnshfjVLbT4X+F5VbQVIchHwDGDXJMvaUcTewB1db66qNTRzQ7Fq1aoZnSyXJE2uzyGm24AdZ7HNTcAhSXZpZ4c9DPg2cDlwTFvneODiWWxTkrSN+owgfgFcn+Qy4DejiKp63fY0WFXrk1wIXAfcC3yDZkTwz8Ankvzvtuzs7dm/JGl29EkQ69rXrKmq04DTJhTfBhw8m+1IkrbftAmiqtYm2RlYUVW3zEFMkqR5oM8jR/8AuB74fLv+5CSzOqKQJM0/fU5Sv53m0M/dAFV1PT4DQpIWvT4J4t6qumdCmZeXStIi1+ck9Y1JXg7skOQAmnmUvjrcsCRJo9ZnBHEy8ASaS1zPA34KvGGYQUmSRq/PVUy/oJnR9W3DD0eSNF/0mYvpcjrOOVTVc4YSkSRpXuhzDuLNA8s7AS+muQNakrSI9TnEdO2Eon9JcuWQ4pEkzRN9DjHtPrD6IOCpwGOGFpEkaV7oc4jpWppzEKE5tPQ9fByoJC16fQ4xede0JC1BfQ4x/Y+ptlfVRbMXjiRpvuhziOlEmie+fbld/2/AFTTPki5gQSaIc9dvGnUIkjSv9UkQBRxYVXcCJNkTeF9VvXqokUmSRqrPVBsrx5ND60fAY4cUjyRpnugzgrgiyRdo5mEq4Fia50dLkhaxPlcxvTbJi4Bnt0VrqurTww1LkjRqfUYQANcBP6uqLyXZJcnDq+pnwwxMjW05mf7yp60YYiSSlpo+jxz9E+BC4B/bor2AfxpmUJKk0etzkvok4Jk0z4Ggqm4F9phJo0l2TXJhku8kuTnJ05PsnuTSJLe2P3ebSRuSpJnpc4jpV1X16yQAJFnGzB85+h7g81V1TJIHA7sApwKXVdXpSU4BTgHeMsN2lpS+h6M8FCWpjz4jiCuTnArsnOR5wCeBz2xvg0keQXPC+2yAqvp1Vd0NHAWsbautBY7e3jYkSTPXJ0GcAmwFvgX8T+AS4C9m0Ob+7f4+kuQbST6U5KHAo8fvt2h/zugwliRpZqY8xJRkB2BtVb0S+OAstnkQcHJVrU/yHpok1EuS1cBqgBUrPFQiScMy5Qiiqu4DxtrzBLNlM7C5qta36xfSJIwftdN4jE/nsWWSmNZU1aqqWjU2NjaLYUmSBvU5SX07zVPk1gH/Pl5YVe/cngar6l+T/CDJ46rqFuAw4Nvt63jg9Pbnxduzf0nS7Jg0QSQ5p6qOA14KvItmtPHwWWr3ZODj7cjkNuDV7f4vSHIisAl4ySy1JUnaDlONIJ6aZF+aL+v3zmajVXU9sKpj02Gz2Y4kaftNlSDOAj4P7AdsGCgPzX0Q+w8xLknSiE16krqqzqyqxwMfqar9B177VZXJQZIWuWnvg6iqP52LQCRJ80ufG+UkSUuQCUKS1MkEIUnqZIKQJHUyQUiSOvV95KiWKJ8xIS1djiAkSZ1MEJKkTiYISVInE4QkqZMJQpLUyauYlqC+VyZJWtocQUiSOpkgJEmdTBCSpE4mCElSJxOEJKmTCUKS1GlkCSLJDkm+keSz7fp+SdYnuTXJ+UkePKrYJEmjHUG8Hrh5YP0M4F1VdQBwF3DiSKKSJAEjShBJ9gZ+H/hQux7gOcCFbZW1wNGjiE2S1BjVCOLdwJ8D/9muPwq4u6rubdc3A3t1vTHJ6iQbkmzYunXr8COVpCVqzhNEkhcCW6rq2sHijqrV9f6qWlNVq6pq1djY2FBilCSNZi6mZwJHJjkC2Al4BM2IYtcky9pRxN7AHSOITZLUmvMRRFW9tar2rqqVwLHAl6vqFcDlwDFtteOBi+c6NknS/ebTfRBvAd6UZCPNOYmzRxyPJC1pI53uu6quAK5ol28DDh5lPJKk+82nEYQkaR4xQUiSOpkgJEmdTBCSpE4mCElSJxOEJKmTCUKS1MkEIUnqNNIb5bR4nLt+U++6L3/aiiFGImm2OIKQJHUyQUiSOpkgJEmdTBCSpE4mCElSJ69i0pzre8WTVztJo+UIQpLUyQQhSepkgpAkdTJBSJI6mSAkSZ1MEJKkTnOeIJLsk+TyJDcnuSnJ69vy3ZNcmuTW9uducx2bJOl+oxhB3Av8r6p6PHAIcFKSA4FTgMuq6gDgsnZdkjQic54gqurOqrquXf4ZcDOwF3AUsLatthY4eq5jkyTdb6R3UidZCTwFWA88uqruhCaJJNljkvesBlYDrFjhnbaLmc+YkEZrZCepkzwM+BTwhqr6ad/3VdWaqlpVVavGxsaGF6AkLXEjSRBJdqRJDh+vqova4h8l2bPdviewZRSxSZIao7iKKcDZwM1V9c6BTeuA49vl44GL5zo2SdL9RnEO4pnAccC3klzflp0KnA5ckOREYBPwkhHEJklqzXmCqKqvAJlk82FzGYskaXLeSS1J6mSCkCR1MkFIkjqZICRJnUwQkqROJghJUicThCSpkwlCktTJBCFJ6jTS6b6l+azvdONONa7FyhGEJKmTCUKS1MlDTFoUtuXpc6Ns28NRWkgcQUiSOpkgJEmdTBCSpE6eg5DmIc9raD5wBCFJ6uQIQppDo7zaStpWJghJ281DYYubh5gkSZ3m3QgiyeHAe4AdgA9V1ekjDkma15wzav5bqP9G8ypBJNkBeB/wPGAzcE2SdVX17dFGJi18oz4cNIzzL6OMc9R9NBfJZL4dYjoY2FhVt1XVr4FPAEeNOCZJWpLm1QgC2Av4wcD6ZuBpgxWSrAZWt6s/T3LLhH0sB/5taBEuDPaBfQAz6INXzHIgw9IjzqF9DkbdR9vQflcf7NvnjfMtQaSjrH5rpWoNsGbSHSQbqmrVbAe2kNgH9gHYB2AfwMz6YL4dYtoM7DOwvjdwx4hikaQlbb4liGuAA5Lsl+TBwLHAuhHHJElL0rw6xFRV9yZ5LfAFmstcP1xVN23jbiY9/LSE2Af2AdgHYB/ADPogVTV9LUnSkjPfDjFJkuYJE4QkqdOCTRBJDk9yS5KNSU7p2P6QJOe329cnWTn3UQ5Xjz44IcnWJNe3rz8eRZzDkuTDSbYkuXGS7UlyZts/NyQ5aK5jHLYefXBoknsGPgN/NdcxDluSfZJcnuTmJDcleX1HnUX9WejZB9v+WaiqBfeiOYH9/4D9gQcD3wQOnFDnz4Cz2uVjgfNHHfcI+uAE4B9GHesQ++DZwEHAjZNsPwL4HM39NYcA60cd8wj64FDgs6OOc8h9sCdwULv8cOC7Hf8XFvVnoWcfbPNnYaGOIPpMyXEUsLZdvhA4LEnXjXgL1ZKflqSqrgJ+MkWVo4CPVeNqYNcke85NdHOjRx8selV1Z1Vd1y7/DLiZZlaGQYv6s9CzD7bZQk0QXVNyTOyM39SpqnuBe4BHzUl0c6NPHwC8uB1SX5hkn47ti1nfPlrsnp7km0k+l+QJow5mmNpDyU8B1k/YtGQ+C1P0AWzjZ2GhJohpp+ToWWch6/P7fQZYWVVPAr7E/SOqpWKxfwb6uA7Yt6p+B3gv8E8jjmdokjwM+BTwhqr66cTNHW9ZdJ+Fafpgmz8LCzVB9JmS4zd1kiwDHsniGopP2wdV9eOq+lW7+kHgqXMU23yx5KduqaqfVtXP2+VLgB2TLB9xWLMuyY40X4wfr6qLOqos+s/CdH2wPZ+FhZog+kzJsQ44vl0+BvhytWdqFolp+2DCMdYjaY5LLiXrgFe1V7AcAtxTVXeOOqi5lOQx4+fekhxM83/+x6ONana1v9/ZwM1V9c5Jqi3qz0KfPtiez8K8mmqjr5pkSo4kfw1sqKp1NJ11TpKNNCOHY0cX8ezr2QevS3IkcC9NH5wwsoCHIMl5NFdmLE+yGTgN2BGgqs4CLqG5emUj8Avg1aOJdHh69MExwJ8muRf4JXDsIvtDCeCZwHHAt5Jc35adCqyAJfNZ6NMH2/xZcKoNSVKnhXqISZI0ZCYISVInE4QkqZMJQpLUyQQhSepkgpAkdTJBaFYkua+dQvimdq6XNyV5ULttVZIzp3n/CUn+YRvbPHUmMc+2JFckWdUuX5Jk1xHFcV47/9YbZ3GfhyZ5xsD6a5K8arb2r/lpQd4op3npl1X1ZIAkewDn0kxvclpVbQA2DKHNU4F3DGG/M1ZVR2xL/STL2kklZyTJY4BnVNW+M93XBIcCPwe+Cr+58UqLnCMIzbqq2gKsBl7bTm1waJLPQnOLf5KvJvlG+/NxA2/dJ8nn0zwE6bTxwiSvTPL1doTyj0l2SHI6sHNb9vEp6u2Q5KNJbkzyran+qm5HAO9u47qxnY6AJA9N82Cea9q4j2rLd07yifav9fOBnQf2dfv4PDdJ/jLJd5Jc2v51/+aB9t6R5Erg9UnGknyqbeeaJM+cqv1JfBHYo+2D350wqlme5PZ2+YQkF7X9fWuSvxuI/fAk17UjwcvSzA76GuCNA/t9+8Dv8eQkV7f98Okkuw38fme0/ybfTfK7U8St+WjUD7rwtThewM87yu4CHs3Ag0qARwDL2uXnAp9ql08A7qSZkn1n4EZgFfB4mllpd2zrvR941cQ2J6tHM0HhpQP1dp3id7gC+GC7/Gzah/DQjFJeOf5+moexPBR4E80UJwBPopnSZFW7fjuwvP0drm9/p4cDtwJvHmjv/QPtnws8q11eQTOvzqTtT/I7rGTg4UFtG+MxLQduH+jv22hGeTsB36eZzG6MZlrs/dp6u7c/3z4e98R14Abg99rlvwbePdD2/22XjwC+NOrPqa9te3mIScPUNcXyI4G1SQ6gmW55x4Ftl1bVjwGSXAQ8i+ZL96nANWnmGdsZ2NKx38MmqfcZYP8k7wX+meYv7KmcB82DeJI8oj2P8N+BI8f/Yqb5Ql1Bk0TObOvfkOSGjv09C7i4qn7Z/l6fmbD9/IHl5wIH5v7nWj0iycOnaH+mky9eVlX3tHF9G9gX2A24qqq+1/5eU86AnOSRNEn3yrZoLfDJgSrjs4peS5O8tICYIDQUSfYH7qP5kn78wKa/AS6vqhe1hy6uGNg2cWKwokkya6vqrdM1OVm9JL8DPB84CfhD4I+m2M9kMby4qm6ZsN+u+l1xTeXfB5YfBDx9PJkMtNPZfk/3cv+h5J0mbPvVwPJ9NN8HYXafkzDexvj+tYB4DkKzLskYcBbN87Anftk8Evhhu3zChG3PS7J7kp2Bo4F/AS4DjmlPfNNuHz8B+x9p5sBnsnrteYAHVdWngL+keX7zVF7avv9ZNFNC30MzY+7J7Rc1SZ7S1r0KeEVb9kSaw0wTfQX4gyQ7pXmYy+9P0fYXgdeOryR5crs4Wft93M79zwE5pkf9rwG/l2S/tq3d2/Kf0Rwi+y1t/9w1cH7hOODKifW0MJnRNVt2TjPN8I40f7WeA3TNS/93NIeY3gR8ecK2r7Tv+6/AudVc/USSvwC+mOay2f+gGQl8H1gD3JDkuqp6xST1fgl8pC0DmG4kcleSr9KcKxkfafwN8O62rdB86b4Q+EC77xtozjN8feLOquqaJOuAb7Yxb6B5/G2X1wHva/e3jCYBvWaK9vv4e+CCJMfxwP5+gKrammQ1cFHbZ1uA59EcqruwPUF+8oS3HQ+clWQXmvMai20q7SXL6b6lVpIraE68zuoluUkeVlU/b79ArwJWV/uAeWk+cwQhDd+aJAfSnANYa3LQQuEIQktOkvfRPIFr0Huq6iOjiGd7JHk+cMaE4u9V1YtGEY8WJxOEJKmTVzFJkjqZICRJnUwQkqROJghJUqf/DwDIWP8aN6qGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "###Diabetes_pedigree_function，糖尿病家系作用\n",
    "fig = plt.figure()\n",
    "sns.distplot(train.Diabetes_pedigree_function, kde = False)\n",
    "plt.xlabel('Diabetes_pedigree_function')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ce1c3282c8>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = train.groupby(['Diabetes_pedigree_function', 'Target'])['Diabetes_pedigree_function'].count().unstack('Target').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.Age, kde = False)\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ce1e54b5c8>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = train.groupby(['Age', 'Target'])['Age'].count().unstack('Target').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征之间的相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ce1e6d4348>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr = train.corr().abs()\n",
    "\n",
    "plt.subplots(figsize=(13, 9))\n",
    "sns.heatmap(data_corr,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Gvgy8Dtw7gnzSUDj9ov1OVf0zsBqYmrPvXWALcBODVSulieRIXfudJKcABzBYPOngOQ/9OfAPVfXjwQKW0uSx1LW/2DWnDoMvp1hfVR/MLe+qehavetGEc5VGSWqIc+qS1BBLXZIaYqlLUkMsdUlqiKUuSQ2x1CWpIZa6JDXkfwGG/fjGlGMB6wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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fu+hCulOvXtG3PS/Jh/tzcd+d5J4kl/X3nZPkX/uTjd07dVi8NGoMdx3tLqU7D/p/AE8mORv4XWAt8Gt0RxVeAD8719HfA5dV1TnAjcB1y1G0NJsVs3eRmraJ7uRn0B0Wvgk4FvhUVf0U+G6S+/v7zwDOAu7rThfCMXSnc5VGjuGuo1Z/zpJXA2clKbqwLp4958xhDwEerqoLlqhEacGcltHR7DLgpqp6cVWtrao1dL9o9ATwe/3c+ynARX3/3cBEkp9N0yR5+XIULs3GcNfRbBOHb6XfRvfjCpN0pwD+CN2ZSJ+qqv+l+4PwviRfBR6kO0e3NHI8K6Q0gyQvqKof9VM3X6T71abvLndd0lw55y7N7O7+B1aeD/y1wa5x45a7JDXIOXdJapDhLkkNMtwlqUGGuyQ1yHCXpAb9P9spzHDvW+3/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for feature in train.columns:\n",
    "    sns.distplot(train[feature],kde = False)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
